Yuxin Xia

Papers

Total Citations

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About

Yuxin Xia is a researcher at the forefront of agricultural automation, specializing in deep learning and computer vision for precision agriculture. Their primary research focuses on developing advanced neural network models for tea leaf grading and counting, directly addressing the technological challenges that hinder the automation of tea-picking robots. Xia's major contributions include pioneering improvements to the YOLOv8n architecture, integrating Hierarchical Vision Transformers with Shifted Windows to significantly enhance feature extraction in dense, natural environments. This work solves critical problems of limited detection accuracy and false positives in tea grading, achieving over 12 citations for their 2024 study on tea grading and counting. Their innovative approach has been recognized for boosting both the speed and precision of fresh tea leaf detection, laying essential groundwork for fully automated harvesting systems. By bridging the gap between state-of-the-art computer vision and real-world agricultural needs, Xia's research is shaping the future of smart farming, making them a key figure in the development of intelligent, autonomous agricultural robots.